CN117974688A - Segmentation auxiliary information display method and device, medical imaging equipment and storage medium - Google Patents
Segmentation auxiliary information display method and device, medical imaging equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a segmentation auxiliary information display method, a segmentation auxiliary information display device, medical imaging equipment and a storage medium. First, first interface parameters for characterizing relevant parameters affecting a segmentation result of a medical image are determined, and first region markers for indicating a first image region to be segmented in the medical image are presented on the medical image. And prompting segmentation auxiliary information according to the first interface parameter, wherein the segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted. Whether the range of the first image area and/or the first interface parameter need to be adjusted or not is judged through the segmentation auxiliary information, so that the adjustment of a user is facilitated, the adjustment difficulty of the range of the first image area and the first interface parameter is reduced, and the segmentation quality and the segmentation efficiency of the medical image are improved.
Description
Technical Field
The present invention relates to the field of medical image processing technologies, and in particular, to a segmentation auxiliary information display method and apparatus, a medical imaging device, and a storage medium.
Background
The image segmentation technology in medical image processing is widely applied, and focus information statistics can be facilitated by extracting and segmenting medical images and independently displaying the medical images.
In the related art, the semi-automatic segmentation method is to segment the portion, which meets the threshold range, in the selected area based on the threshold range. However, in the process of determining the threshold range by the semi-automatic segmentation method, the difficulty of acquiring a proper threshold is high, and the segmentation quality of the medical image is to be improved.
Disclosure of Invention
The embodiments of the present specification aim to solve at least one of the technical problems in the related art to some extent. For this reason, the present embodiments provide a segmentation auxiliary information display method, a device, a medical imaging apparatus, and a storage medium.
The embodiment of the specification provides a segmentation auxiliary information display method, which is used in a semi-automatic segmentation process of a medical image, and comprises the following steps:
determining a first interface parameter; wherein the first interface parameter is used for characterizing a relevant parameter affecting a segmentation result of the medical image;
Displaying a first region marker on the medical image; wherein the first region marker is used for indicating a first image region to be segmented in the medical image;
Prompting segmentation auxiliary information according to the first interface parameter; the segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted.
In one embodiment, the method further comprises:
displaying an adjusted second region marker on the medical image in response to an adjustment operation of the first region marker; the second region mark is used for indicating a second image region obtained after the first image region is adjusted in the medical image; and/or
And responding to the adjustment operation of the first interface parameter to obtain a second interface parameter.
In one embodiment, the displaying the first region marker on the medical image includes:
Generating the first region marker on the medical image according to a region radius in the first interface parameter and a selected center point position; or (b)
The first region marker is generated on the medical image according to the selected at least two vertex positions.
In one embodiment, the first interface parameter includes a threshold range parameter of pixel data; the prompting of the segmentation auxiliary information according to the first interface parameter includes:
Traversing the pixel data in the first image area according to the threshold range parameter to obtain a conforming image area meeting the threshold range parameter;
Respectively displaying the conforming image area and other image areas except the conforming image area in the first image area in different display states; or displaying the conforming image area in a highlighted state to show the segmentation auxiliary information.
In one embodiment, the first interface parameter includes a display option parameter for pixel data; the prompting of the segmentation auxiliary information according to the first interface parameter includes:
traversing the pixel data in the first image area based on the display option parameters to obtain display pixel data matched with the display option parameters;
displaying the display pixel data in a text mode as the segmentation auxiliary information; wherein the display pixel data includes any one of a pixel minimum value, a pixel maximum value, and a pixel average value.
In one embodiment, the determining the first interface parameter includes:
Displaying a configuration interface for dividing related parameters;
Determining the first interface parameter in response to a parameter setting operation on the configuration interface; wherein the first interface parameter includes at least one of a threshold range parameter, a display option parameter, and a region radius.
In one embodiment, the method further comprises:
if the medical image is any image in a medical image sequence, determining a first reference layer and a second reference layer to be segmented in the medical image sequence;
And under the condition that the first image area does not need to be adjusted, carrying out three-dimensional expansion on the first image area based on the position data of the first area mark, the first reference layer and the second reference layer to obtain a three-dimensional area to be segmented corresponding to the medical image sequence.
In one embodiment, the first reference layer is a start layer and the second reference layer is an end layer; the three-dimensional expansion of the first image area based on the position data of the first area mark, the first reference layer and the second reference layer, to obtain a three-dimensional area to be segmented corresponding to the medical image sequence, includes:
Determining an image area to be segmented in an image between the start layer and the end layer based on the position data of the first area marker;
expanding the first image area by utilizing an image area to be segmented in an image between the starting layer and the ending layer to obtain the three-dimensional area to be segmented.
In one embodiment, the first reference layer is a start layer and the second reference layer is an end layer; the three-dimensional expansion of the first image area based on the position data of the first area mark, the first reference layer and the second reference layer, to obtain a three-dimensional area to be segmented corresponding to the medical image sequence, includes:
determining a designated key point set comprising at least a key point position in the starting layer and a key point position in the ending layer;
determining a target key point set corresponding to the medical image sequence based on the designated key point set;
Determining an image area to be segmented in an image between the starting layer and the ending layer based on the target key point set and the position data of the first area mark;
expanding the first image area by utilizing an image area to be segmented in an image between the starting layer and the ending layer to obtain the three-dimensional area to be segmented.
The embodiment of the specification provides a segmentation auxiliary information display device, which is used in a semi-automatic segmentation process of a medical image, and comprises the following components:
The interface parameter determining module is used for determining a first interface parameter; wherein the first interface parameter is used for characterizing a relevant parameter affecting a segmentation result of the medical image;
A region marker display module for displaying a first region marker on the medical image; wherein the first region marker is used for indicating a first image region to be segmented in the medical image;
the segmentation auxiliary information prompting module is used for prompting segmentation auxiliary information according to the first interface parameter; the segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted.
The present specification embodiment provides a medical imaging apparatus including: a memory, and one or more processors communicatively coupled to the memory; the memory has stored therein instructions executable by the one or more processors to cause the one or more processors to implement the steps of the method of any of the embodiments described above.
The present description provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method according to any of the above embodiments.
The present description provides a computer program product comprising instructions which, when executed by a processor of a computer device, enable the computer device to perform the steps of the method of any one of the embodiments described above.
In the above-described embodiments, first interface parameters for characterizing relevant parameters affecting the segmentation result of the medical image are determined, first region markers for indicating a first image region to be segmented in the medical image are presented on the medical image. And prompting segmentation auxiliary information according to the first interface parameter, wherein the segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted. Whether the range of the first image area and/or the first interface parameter need to be adjusted or not is judged through the segmentation auxiliary information, so that the adjustment of a user is facilitated, the adjustment difficulty of the range of the first image area and the first interface parameter is reduced, and the segmentation quality and the segmentation efficiency of the medical image are improved.
Drawings
Fig. 1 is a flow chart of a segmentation auxiliary information display method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of determining a first region marker provided in an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of determining a first region marker provided in an embodiment of the present disclosure;
Fig. 4a is a schematic flow chart of presenting segmentation auxiliary information according to an embodiment of the present disclosure;
FIG. 4b is a schematic diagram showing a region of a conforming image in a highlighted state to show segmentation aid information according to an embodiment of the present disclosure;
Fig. 5a is a schematic flow chart of presenting segmentation auxiliary information according to an embodiment of the present disclosure;
fig. 5b is a schematic diagram showing display pixel data in a text manner as the segmentation auxiliary information according to the embodiment of the present disclosure;
FIG. 6a is a schematic flow chart of determining a first interface parameter according to an embodiment of the present disclosure;
FIG. 6b is a schematic diagram of a configuration interface for partitioning related parameters provided by embodiments of the present disclosure;
FIG. 6c is a schematic diagram of real-time display option parameters provided by embodiments of the present disclosure;
fig. 7 is a schematic flow chart of obtaining a three-dimensional region to be segmented corresponding to a medical image sequence according to an embodiment of the present disclosure;
Fig. 8 is a schematic flow chart of obtaining a three-dimensional region to be segmented corresponding to a medical image sequence according to an embodiment of the present disclosure;
Fig. 9a is a schematic flow chart of obtaining a three-dimensional region to be segmented corresponding to a medical image sequence according to an embodiment of the present disclosure;
FIG. 9b is a schematic diagram of determining a set of specified keypoints;
fig. 10 is a flowchart illustrating a method for displaying segmentation assistance information according to an embodiment of the present disclosure;
fig. 11 is a schematic diagram of a segmentation supporting information display device according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
Medical image segmentation aims at dividing different organs or lesion areas in an image into different meaningful areas. Three methods of automatic segmentation, semi-automatic segmentation, and manual segmentation are typically used. The automatic segmentation method is fast in speed and high in efficiency, but accuracy is to be improved. The accuracy of the medical image segmentation results directly affects the diagnosis of the doctor on the medical image, so that the doctor needs to rely on a semi-automatic segmentation method for adjustment in order to ensure the accuracy of the medical image segmentation results.
The semi-automatic segmentation method is to segment the part which accords with the threshold range in the selected area based on the threshold range. However, in the process of semi-automatically dividing the threshold value by a doctor, the appropriate threshold value range is difficult to judge by naked eyes, and the difficulty of acquiring the appropriate threshold value is high. Often requiring multiple manual adjustment attempts, is cumbersome and time consuming to operate.
In the related art, based on a target MPR image of a target object currently displayed, a user's selection operation of a region of interest within the target MPR image is responded, and a target region of interest is determined. Then, based on the identification of the target region of interest, an initial threshold range is obtained. Then, a target threshold range is obtained in response to a dynamic adjustment operation of the initial threshold range by the user. After the target threshold range and each MPR image of the target object are obtained, the image is processed by adopting a three-dimensional region growing processing method, so that a three-dimensional type target segmentation image corresponding to the target object is obtained. And finally, displaying the obtained target segmentation image.
However, the object in the related art lacks the processing power for a three-dimensional image for an MPR image whose quadrant is two-dimensional. When selecting a region of interest, relying on two-dimensional images often fails to provide the visual information that three-dimensional images possess. Furthermore, there is a lack of timely adjustment and modification functionality after the region of interest has been selected. The medical image generally contains a plurality of areas with different meanings within the same threshold range, and the result is inaccurate easily only by dividing the medical image within the threshold range selected by the region of interest, and the calculation amount is increased. In medical images, the threshold ranges of the same-meaning regions may not be completely represented on one image, and in two-dimensional MPR images between adjacent layers, the threshold ranges of the same-meaning regions may be different. Therefore, if a three-dimensional image is segmented using a fixed threshold region selected from the two-dimensional MPR image, the segmentation result may be inaccurate.
In the related art, a brush for dividing image data is constructed. Through the user interface, an interactive representation is provided that interacts with the brush of image data. This interactive representation will be displayed in a plurality of viewports providing a view of the image data and may be used for interaction in each viewport. By manipulating this representation, the content of the viewport can be updated. The system also provides a preview function for displaying a preview of the image data segment corresponding to the representation location. When the segmentation result is confirmed, the system facilitates generating an output based on the segmentation result. However, the segmentation quality of medical images is to be improved by constructing a brush for segmenting image data, a method for navigating and segmenting images in the related art.
Based on this, the present embodiment provides a segmentation auxiliary information display method. First, first interface parameters for characterizing relevant parameters affecting a segmentation result of a medical image are determined, and first region markers for indicating a first image region to be segmented in the medical image are presented on the medical image. And prompting segmentation auxiliary information according to the first interface parameter, wherein the segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted. Whether the range of the first image area and/or the first interface parameter need to be adjusted or not is judged through the segmentation auxiliary information, so that the adjustment of a user is facilitated, the adjustment difficulty of the range of the first image area and the first interface parameter is reduced, and the segmentation quality and the segmentation efficiency of the medical image are improved.
The embodiment of the present disclosure provides a segmentation auxiliary information display method, which is used in a semi-automatic segmentation process of a medical image, referring to fig. 1, and the segmentation auxiliary information display method may include the following steps:
s110, determining a first interface parameter.
And S120, displaying the first region mark on the medical image.
S130, prompting the segmentation auxiliary information according to the first interface parameter.
Wherein the first interface parameter is used for characterizing relevant parameters affecting the segmentation result of the medical image. The first region mark is used for indicating a first image region to be segmented in the medical image, and the first region mark can be a rectangular, circular, polygonal or other graphic shape and is used for accurately positioning the region to be segmented. The segmentation assistance information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted.
Specifically, according to the requirement and understanding of the medical image, relevant parameters affecting the segmentation result of the medical image, such as a threshold range and a display mode, are set on a configuration interface, so as to determine a first interface parameter. A marking tool may be used to mark on the medical image to determine and display a first region marker to be segmented. For a better presentation of the first region marking, it is conceivable to use different marking shapes, such as rectangular, circular, polygonal, etc., to meet the marking requirements in different situations. The region covered by the first region marker is denoted as a first image region to be segmented in the medical image. According to the first image area to be segmented in the medical image and the determined first interface parameter, segmentation auxiliary information can be determined, and a prompting mode of the segmentation auxiliary information can be determined according to the destination and the actual requirement. The segmentation auxiliary information may be presented in text form, or may be presented by color rendering.
The medical image may be a two-dimensional medical image or a three-dimensional medical image.
In the above embodiment, first interface parameters for characterizing relevant parameters affecting a segmentation result of a medical image are determined, and first region markers for indicating a first image region to be segmented in the medical image are presented on the medical image. And prompting segmentation auxiliary information according to the first interface parameter, wherein the segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted. Whether the range of the first image area and/or the first interface parameter need to be adjusted or not is judged through the segmentation auxiliary information, so that the adjustment of a user is facilitated, the adjustment difficulty of the range of the first image area and the first interface parameter is reduced, and the segmentation quality and the segmentation efficiency of the medical image are improved.
In some embodiments, the method may further comprise: in response to the adjustment operation of the first region marker, the adjusted second region marker is displayed on the medical image. And/or, responding to the adjustment operation of the first interface parameter, and obtaining a second interface parameter.
The second region mark is used for indicating a second image region obtained after the first image region is adjusted in the medical image. The second interface parameter is used to characterize relevant parameters affecting the segmentation result of the medical image.
Specifically, in performing medical image segmentation, it may be determined whether adjustment of the range of the first image region is required according to the segmentation auxiliary information. If adjustment is needed, how to perform adjustment operation can be determined according to the segmentation auxiliary information so as to obtain a more accurate segmentation result. After responding to the adjustment operation of the first region marker, the adjusted second region marker may be presented on the medical image for further analysis and operation by the user. And/or, according to the segmentation auxiliary information, whether the first interface parameter needs to be adjusted or not can be judged, so as to further optimize the segmentation result. If the parameters need to be adjusted, specific parameters needing to be adjusted and how to adjust can be determined according to the segmentation auxiliary information. Through the adjustment operation of the first interface parameters, the optimized second interface parameters can be obtained, so that the accuracy and the effect of segmentation are improved.
It should be noted that, in the adjustment operation, various adjustment operations are provided to facilitate the adjustment by the user. For example, the first region mark and the first interface parameter can be adjusted in a keyboard interaction mode. The adjustment of the first region mark and the first interface parameter can also be realized in a mouse interaction mode. The adjustment of the first region marking and the first interface parameter can also be achieved by performing an interactive operation on the configuration interface. After the second image region and/or the second interface parameter is determined, the pixel data is re-traversed to prompt according to the new segmentation auxiliary information.
In some embodiments, when determining the image region to be segmented using the center point location and the region radius, the adjusted second region marker may be displayed on the medical image by changing the center point location. The second region mark obtained after adjustment can also be displayed on the medical image by adjusting the region radius at the configuration interface. The radius of the region can be adjusted at the configuration interface while changing the position of the center point, and the adjusted second region mark is displayed on the medical image. When determining the image region to be segmented using the vertex position, the adjusted second region marker may be displayed on the medical image by changing the vertex position.
In other embodiments, the adjustment of the first interface parameter may include adjusting a threshold range parameter, displaying an option parameter, and the like. For example, in the case of displaying the conforming image area in the highlighted state, adjusting the threshold range parameter may re-traverse the pixel data in the adjusted second image area to obtain a new conforming image area satisfying the threshold range parameter, and change the conforming image area displayed in the highlighted state in real time.
In the above embodiment, the adjusted second region marker is displayed on the medical image in response to the adjustment operation of the first region marker. And/or, responding to the adjustment operation of the first interface parameter, obtaining a second interface parameter, and providing more accurate image area to be segmented and threshold range parameters, thereby improving the segmentation efficiency of the medical image. The user can flexibly adjust the interface parameters and the region marks, and the user experience is improved.
In some embodiments, presenting the first region marker on the medical image may include: a first region marker is generated on the medical image based on the region radius in the first interface parameter and the selected center point location.
In particular, the first interface parameter may be determined by a parameter setting operation on the configuration interface in response to the segmentation-related parameter. The first interface parameter includes a region radius, and the region radius parameter determines a size of the region to be segmented. A position is selected on the medical image and taken as a center point position. The location may be a location of interest, such as the center of a tissue structure or the location of an abnormal lesion, etc. When the medical image is a two-dimensional medical image, a circular frame is generated by taking the center point position as the center of a circle according to the region radius set in the first interface parameter, and the circular frame is taken as a first region mark. When the medical image is a three-dimensional medical image, the center point position is taken as a sphere center, and a first region mark is generated according to the region radius set in the first interface parameter.
The image region to be segmented is determined by way of example, by determining the current use center point position and region radius by switching the buttons. Referring to fig. 2, the center point position a is determined by clicking a mouse. The first region marker 202 is determined based on the region radius and the center point position a.
In the above embodiment, the first region mark is generated on the medical image according to the region radius and the selected center point position in the first interface parameter, so as to provide a basis for the subsequent determination of whether the range of the first image region needs to be adjusted.
In some embodiments, presenting the first region marker on the medical image may include: a first region marker is generated on the medical image based on the selected at least two vertex positions.
Specifically, at least two vertex positions are selected on the medical image. The selected vertex position may be the position of a tissue or abnormal lesion. Based on the selected vertex positions, however, a polygonal frame (e.g., rectangular frame) is calculated that is constructed with the selected vertex positions. And taking the determined polygonal frame as a first region mark, and representing the region covered in the polygonal frame as a first image region to be segmented in the medical image.
The image region to be segmented is determined by switching the button, for example, in such a way that the vertex position is used. Referring to fig. 3, vertex position B and vertex position C may be determined on the medical image. Then, based on the vertex position B and the vertex position C, the boundary value of the rectangular frame is calculated. The boundary values are used to draw a rectangular box 302, the rectangular box 302 being a first region marker on the medical image.
In the above embodiment, the first region mark is generated on the medical image according to the selected at least two vertex positions, which provides a basis for the subsequent determination of whether the range of the first image region needs to be adjusted.
In some embodiments, referring to fig. 4a, the first interface parameter includes a threshold range parameter of the pixel data. The prompting of the segmentation assistance information according to the first interface parameter may comprise the steps of:
and S410, traversing the pixel data in the first image area according to the threshold range parameter to obtain the image area meeting the threshold range parameter.
S420, respectively displaying the coincidence image region and other image regions except the coincidence image region in the first image region in different display states; or the conforming image area is displayed in a highlighted state to reveal the segmentation aid information.
The threshold range parameter may be a set of upper and lower limits set to traverse pixel data within the first image region, the upper and lower limits defining a range in which pixel data is considered to meet the threshold.
In some cases, the medical image may be a two-dimensional medical image or a three-dimensional medical image, and the displayed medical image is affected by window width and level parameters. In order to improve the accuracy of the threshold acquisition, the displayed medical image is not used, but the pixel data of the medical image is directly used for processing.
Specifically, the threshold range parameter is determined in response to a parameter setting operation on a configuration interface that splits the relevant parameter. Pixel data within the first image region is traversed to determine pixel locations within the threshold range parameter within the first image region. Pixel locations within the threshold range parameter constitute a conforming image region. And pixel locations within the first image region that are not within the threshold range parameter constitute other image regions than the conforming image region. In some embodiments, to more specifically illustrate the two regions, they may be distinguished using different display states (e.g., color or transparency). And respectively displaying the coincidence image region and other image regions except the coincidence image region in the first image region in different display states. In other embodiments, the image region to be segmented and the threshold range parameter are determined more accurately by highlighting the image region to distinguish the image region from other regions, so that the user can more intuitively understand the boundary between the image region and other image regions.
The coincidence image region and the other image region than the coincidence image region in the first image region may be displayed on the two-dimensional medical image or on the three-dimensional medical image in different display states, respectively, to display the segmentation auxiliary information. The conforming image region may be displayed in a highlighted state either on a two-dimensional medical image or on a three-dimensional medical image to reveal segmentation assistance information.
For example, referring to fig. 4b, the area within the rectangular box 302 in fig. 4b is the first image area. By traversing the pixel data within the first image region, determining the conforming image region that meets the threshold range parameter and highlighting the conforming image region, please continue with reference to fig. 4b, wherein the red portion in fig. 4b is the highlighted conforming image region.
In the above embodiment, pixel data in the first image area is traversed according to the threshold range parameter, so as to obtain a conforming image area satisfying the threshold range parameter, and the conforming image area and other image areas except the conforming image area in the first image area are respectively displayed in different display states; or the image area is displayed in a highlight state to display the segmentation auxiliary information, so that the range of the first image area and the adjustment difficulty of the first interface parameter are reduced, and the segmentation efficiency and quality of the medical image are improved.
In some embodiments, referring to fig. 5a, the first interface parameter includes a display option parameter for the pixel data. The prompting of the segmentation assistance information according to the first interface parameter may comprise the steps of:
And S510, traversing the pixel data in the first image area based on the display option parameters to obtain display pixel data matched with the display option parameters.
S520, display pixel data is displayed in a text format as the division support information.
The display pixel data includes any one of a pixel minimum value, a pixel maximum value, and a pixel average value. The display option parameter may be a parameter set by the user in the configuration interface for controlling the display manner of the division auxiliary information.
Specifically, parameters for displaying options, i.e., display option parameters, are determined according to a parameter setting operation on the division-related parameter configuration interface. Pixel data in the first image region is traversed, and pixel data matching the display option parameter is calculated and used as display pixel data. The calculated pixel data for display is displayed in a text manner to provide the division assist information. The segmentation assistance information assists the user in determining whether an adjustment to the range of the first image region and/or the segmentation parameters is required in order to determine a more accurate image region to be segmented and threshold range parameters. For example, if the display pixel data is too low or too high, it may indicate that the first image area is too large or too small.
The display pixel data may be displayed literally on a two-dimensional medical image or may be displayed literally on a three-dimensional medical image.
Illustratively, the display pixel data is a pixel minimum value. Referring to fig. 5b, the first region mark in fig. 5b, i.e., the region within the circular frame 202, is the first image region. By traversing the pixel data within the first image region, pixel data matching the pixel minimum is calculated and literally presented at the lower right region 502 of the first region marker 202.
In the above embodiment, the pixel data in the first image area is traversed based on the display option parameter to obtain the display pixel data matched with the display option parameter, and the display pixel data is displayed in a text mode as the segmentation auxiliary information, so that the range of the first image area and the adjustment difficulty of the first interface parameter are reduced, and the segmentation efficiency and quality of the medical image are improved.
In some embodiments, referring to fig. 6a, determining the first interface parameter may include the steps of:
s610, a configuration interface for dividing related parameters is shown.
S620, determining a first interface parameter in response to a parameter setting operation on the configuration interface.
Wherein the first interface parameter comprises at least one of a threshold range parameter, a display option parameter, and a region radius. The segmentation related parameters may be parameters that need to be set during the image segmentation process, such as parameters for display settings, required threshold numbers, etc. The configuration interface may be an interface provided to the user for segmentation-related parameter settings and previews, including control elements (e.g., text boxes, sliders, drop-down menus, etc.) and display areas. The parameter setting operation may be an adjustment and input operation performed by a user on the configuration interface, such as adjusting a threshold by a slider, selecting a display option, inputting a region radius, or the like.
Specifically, a configuration interface of the segmentation related parameters is designed, and then the configuration interface of the designed segmentation related parameters is displayed. And the user performs parameter setting operation on the configuration interface. The user may select the appropriate threshold range, display options, and region radius parameters, as desired. The system determines a first interface parameter in response to a user's parameter setting operation on the configuration interface. The first interface parameter includes at least one of a threshold range parameter, a display option parameter, and a region radius. For example, the threshold range parameter may select a single threshold or a double threshold and set a corresponding threshold range value. When a single threshold is selected, pixel data between the threshold and the maximum pixel data value is taken as a threshold range parameter. In addition, the user can also select whether to avoid the segmented region for segmentation. The user may choose to acquire display pixel data in a two-dimensional medical image or a three-dimensional medical image.
Illustratively, referring to FIG. 6b, a single threshold may be determined and a double threshold may be determined by entering a specific value through control 602 in FIG. 6 b. The threshold range parameter is determined by dragging control 604 in fig. 6 b. The radius of the region is determined by dragging control 606 in fig. 6 b. When the image area to be segmented is segmented by clicking the control 608 in fig. 6b in combination with the drop-down control 610 in fig. 6b, whether the already segmented area in the image area to be segmented needs to be avoided or not. Literally exposing the display option parameters that are checked by control 614 is accomplished by checking control 612 in fig. 6b in combination with control 614 in fig. 6 b. The three-dimensional expansion of the medical image is determined by the selection of control 616 in fig. 6 b. Drop down control 618 in fig. 6b is used to alert the user as to which portion of the organization is currently needed for segmentation.
By clicking the control 620 in fig. 6b, the pixel value corresponding to the center point position can be displayed in real time with the center point position of the mouse controlled mark. The pixel value corresponding to the location of the mouse click on the medical image may then be added to the input box 622. By clicking on control 624 in fig. 6b, the pixel value corresponding to the position the mouse clicked on the medical image may be added to the input box 626. Referring to fig. 6c, the cross center point position S of the mouse controlled mark in fig. 6c may be displayed on the medical image in real time.
In the above embodiment, the configuration interface for dividing the related parameters is displayed, the first interface parameter is determined in response to the parameter setting operation on the configuration interface, the operation flexibility and the friendliness of the user are enhanced, the working efficiency is improved, and the subsequent adjustment operation for dividing the related parameters is facilitated.
In some embodiments, referring to fig. 7, the method may further comprise:
s710, if the medical image is any image in the medical image sequence, determining a first reference layer and a second reference layer to be segmented in the medical image sequence.
And S720, under the condition that the first image area does not need to be adjusted, carrying out three-dimensional expansion on the first image area based on the position data of the first area mark, the first reference layer and the second reference layer to obtain a three-dimensional area to be segmented corresponding to the medical image sequence.
The medical image sequence may be a series of consecutive images acquired by a medical imaging device, the medical image sequence being acquired in a specific order to form a sequence that provides more comprehensive and detailed information. The medical imaging device may be any of computed tomography (Computed Tomography, CT), magnetic resonance imaging (Magnetic Resonance Imaging, MRI), positron emission tomography (Positron Emission Tomography, PET). The first reference layer may be an image selected in the sequence of medical images, the first reference layer serving as a reference for determining the position of the three-dimensional region to be segmented. The second reference layer may be an image selected in the sequence of medical images, the second reference layer serving as a reference for determining the position of the three-dimensional region to be segmented. The first reference layer and the second reference layer may be determined based on experience, demand, and visual information of the medical image sequence. The position data of the first region marker may be position information obtained by marking or outlining the first image region to be segmented on the medical image. The three-dimensional region to be segmented can be a determined three-dimensional space region obtained by three-dimensional expansion in the medical image sequence according to the position data of the first reference layer, the second reference layer and the first region mark. It should be noted that a medical image is included between the first reference layer and the second reference layer.
Specifically, when the medical image is any image in the medical image sequence, the first reference layer and the second reference layer to be segmented are determined in the medical image sequence according to specific requirements. Under the condition that the first image area does not need to be adjusted, a proper method (such as an interpolation method) can be selected according to factors such as actual application requirements and data characteristics, and the three-dimensional area to be segmented corresponding to the medical image sequence is obtained by expanding the first image area in a three-dimensional space and expanding the first image area from one layer to a plurality of layers by utilizing position data of the first area mark and images between the first reference layer and the second reference layer.
When the first image area needs to be adjusted, the first image area is replaced with the finally determined image area, and the position data of the first area mark is replaced with the position data of the finally determined image area mark.
In the above embodiment, if the medical image is any image in the medical image sequence, the first reference layer and the second reference layer to be segmented are determined in the medical image sequence, so that the user processing operation is simplified, and the convenience of the user in use is improved. Under the condition that the first image area does not need to be adjusted, the first image area is subjected to three-dimensional expansion based on the position data of the first area mark, the first reference layer and the second reference layer, a three-dimensional area to be segmented corresponding to the medical image sequence is obtained, the range for carrying out medical image segmentation subsequently is shortened, the calculated amount of three-dimensional data is reduced, and areas with different meanings in the same threshold range are prevented from being segmented, so that the accuracy of a segmentation result is improved.
In some embodiments, referring to fig. 8, the first reference layer is a start layer and the second reference layer is an end layer. The three-dimensional expansion of the first image region based on the position data of the first region mark, the first reference layer and the second reference layer to obtain a three-dimensional region to be segmented corresponding to the medical image sequence may include the following steps:
S810, determining an image area to be segmented in an image between a starting layer and an ending layer based on the position data of the first area mark.
S820, expanding the first image area by utilizing the image area to be segmented in the image between the starting layer and the ending layer, and obtaining the three-dimensional area to be segmented.
In particular, in case the medical image is any image of a sequence of medical images, the starting layer and the ending layer are determined in the sequence of medical images. In any image between the start layer and the end layer, the image area to be segmented is determined in the image by selecting an appropriate method (e.g. threshold segmentation, edge detection, etc.) based on the position data of the first region marker. The above operations are then repeated to determine the image area to be segmented in the image between the starting layer and the ending layer. And combining the image areas to be segmented in the image between the starting layer and the ending layer to expand the first image area and obtain the three-dimensional area to be segmented.
In some embodiments, the center point position of the first region mark is utilized in any image between the starting layer and the ending layer, the center point position of the image for determining the region of the image to be segmented is determined in the image, and the region radius of the first region mark is combined to determine the region of the image to be segmented in the image.
In other embodiments, the vertex positions of the first region markers are used to determine the vertex positions of the image regions to be segmented in any image located between the starting layer and the ending layer in the image. And determining an image area to be segmented in the image according to the vertex position.
When the first image area needs to be adjusted, the first image area is replaced with the finally determined image area, and the position data of the first area mark is replaced with the position data of the finally determined image area mark.
In the above embodiment, on one hand, by determining the starting layer and the ending layer, the user processing operation is simplified, and the convenience of the user is improved. On the other hand, based on the position data of the first region mark, the region of the image to be segmented in the image between the starting layer and the ending layer is determined, the region of the first image to be segmented in the image between the starting layer and the ending layer is utilized to expand the region of the first image to obtain a three-dimensional region to be segmented, the range for carrying out medical image segmentation subsequently is shortened, the calculated amount of the three-dimensional data is reduced, and regions with different meanings in the same threshold range are prevented from being segmented, so that the accuracy of a segmentation result is improved.
In some embodiments, referring to fig. 9a, the first reference layer is a start layer and the second reference layer is an end layer. The three-dimensional expansion of the first image region based on the position data of the first region mark, the first reference layer and the second reference layer to obtain a three-dimensional region to be segmented corresponding to the medical image sequence may include the following steps:
S910, a designated set of keypoints including at least a position of a keypoint in the start layer and a position of a keypoint in the end layer is determined.
The keypoint locations may be specific locations explicitly marked in the images in the sequence of medical images, such as the keypoint locations may be center points for helping to determine the image region to be segmented in the image between the starting and ending layers. The set of specified keypoints may be a set of explicitly-marked keypoint locations in images in the sequence of medical images. These keypoints are typically noted in the image manually or semi-automatically by a physician or professional for guiding the image segmentation algorithm.
In particular, where the medical image is any image in a sequence of medical images, in some embodiments, the position of the starting layer is determined in the sequence of medical images and the key point position is marked in the starting layer image. The position of the ending layer is determined in the sequence of medical images and the key point positions are marked in the ending layer images. The keypoint locations in the starting layer and the keypoint locations in the ending layer constitute a specified set of keypoints. In other embodiments, in addition to determining the keypoint locations in the starting layer and the keypoint locations in the ending layer, the keypoint locations may be marked in at least one layer of the image between the starting layer and the ending layer and then combined with the keypoint locations in the starting layer and the keypoint locations in the ending layer to form the designated set of keypoints.
In determining the position of the start layer and the position of the end layer, the medical image needs to be located between the start layer and the end layer or directly as the start layer or the end layer.
S920, determining a target key point set corresponding to the medical image sequence based on the designated key point set.
The target keypoint set may be a set of keypoints in the image located between the start layer and the end layer determined from the designated keypoint set and the position data of the first region marker.
Specifically, in order to improve the convenience of the user, the positions of the key points in the marked designated key point set can be used as references, and the user is not required to define the positions of the key points layer by layer. According to factors such as actual application requirements and data characteristics, a proper method can be selected to determine the positions of the key points in the images without the key points, so that the convenience of use of users is improved. For example, interpolation methods, morphological processing techniques, deep learning models, and the like may be employed.
S930, determining an image area to be segmented in the image between the starting layer and the ending layer based on the target key point set and the position data of the first area mark.
S940, expanding the first image area by utilizing an image area to be segmented in the image between the starting layer and the ending layer to obtain a three-dimensional area to be segmented.
Specifically, in any image between the starting layer and the ending layer, an image area to be segmented is determined in the image according to the position of a key point corresponding to the image in the target key point set and the position data of the first area mark. The above operations are then repeated to determine the image area to be segmented in the image between the starting layer and the ending layer. And combining the image areas to be segmented in the image between the starting layer and the ending layer to expand the first image area and obtain the three-dimensional area to be segmented.
In some embodiments, in any image between the starting layer and the ending layer, the position of the central point of the image for determining the region of the image to be segmented is determined according to the position of the corresponding key point of the image by using the position relationship between the position of the key point in the image where the first region mark is located and the position of the central point of the first region mark, and then the region radius of the first region mark is combined to determine the region of the image to be segmented in the image.
In other embodiments, in any image between the starting layer and the ending layer, the position of the vertex in the image for determining the region of the image to be segmented is determined according to the position of the corresponding key point in the image by using the positional relationship between the position of the key point in the image in which the first region marker is located and the position of the vertex of the first region marker. And determining an image area to be segmented in the image according to the vertex position.
For example, referring to fig. 9b, clicking with a mouse in a medical image array determines the location of a specified keypoint on a few layers of images and converts the coordinates of the image at the point into coordinates in the original image data. The two points with the farthest distance are taken as the starting layer and the ending layer of the segmentation area. The centerline on the image between the starting and ending layers, i.e. the green line segments in fig. 9b, and the keypoint locations on the image between the starting and ending layers are determined using interpolation calculations.
When the first image area needs to be adjusted, the first image area is replaced with the finally determined image area, and the position data of the first area mark is replaced with the position data of the finally determined image area mark.
In the above embodiment, the designated key point set including at least the key point position in the starting layer and the key point position in the ending layer is determined, and the target key point set corresponding to the medical image sequence is determined based on the designated key point position set, so that the user processing operation is simplified, and the convenience of the user in use is improved. And determining an image region to be segmented in the medical image between the starting layer and the ending layer by using the target key point set and the position data of the first region mark. Then, the image area to be segmented in the medical image between the starting layer and the ending layer is used for expanding the first image area, so that a three-dimensional area to be segmented is obtained, the range for carrying out medical image segmentation subsequently is reduced, the calculated amount of three-dimensional data is reduced, and areas with different meanings in the same threshold range are prevented from being segmented, so that the accuracy of a segmentation result is improved.
The embodiment of the present disclosure further provides a segmentation auxiliary information display method, which is used in a semi-automatic segmentation process of a medical image, and referring to fig. 10, for example, the segmentation auxiliary information display method may include the following steps:
S1002, a configuration interface for dividing related parameters is displayed.
S1004, determining a first interface parameter in response to a parameter setting operation on the configuration interface.
Wherein the first interface parameter is used for representing relevant parameters affecting the segmentation result of the medical image, and the first interface parameter comprises at least one of a threshold range parameter, a display option parameter and a region radius.
S1006, generating a first region marker on the medical image according to the selected at least two vertex positions.
Wherein the first region marker is used to indicate a first image region to be segmented in the medical image.
And S1008, traversing the pixel data in the first image area according to the threshold range parameter to obtain the image area meeting the threshold range parameter.
S1010, displaying the conforming image area in a highlight state to display the segmentation auxiliary information.
The segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted.
And S1012, responding to the adjustment operation of the first region mark, and displaying the adjusted second region mark on the medical image. And responding to the adjustment operation of the first interface parameter to obtain a second interface parameter.
The second region mark is used for indicating a second image region obtained after the first image region is adjusted in the medical image.
S1014, determining a designated key point set including at least the key point position in the start layer and the key point position in the end layer.
S1016, determining a target key point set corresponding to the medical image sequence based on the designated key point set.
S1018, determining an image region to be segmented in the image between the start layer and the end layer based on the target set of keypoints and the position data of the second region mark.
And S1020, expanding the second image area by utilizing the image area to be segmented in the image between the starting layer and the ending layer to obtain the three-dimensional area to be segmented.
The present embodiment provides a segmentation auxiliary information display apparatus 1100, which is used in a semi-automatic segmentation process of a medical image, referring to fig. 11, the segmentation auxiliary information display apparatus 1100 includes: an interface parameter determination module 1110, a region label display module 1120, and a segmentation assistance information prompt module 1130.
An interface parameter determination module 1110, configured to determine a first interface parameter; wherein the first interface parameter is used for characterizing a relevant parameter affecting a segmentation result of the medical image;
a region marker display module 1120 for displaying a first region marker on the medical image; wherein the first region marker is used for indicating a first image region to be segmented in the medical image;
A segmentation auxiliary information prompting module 1130, configured to prompt segmentation auxiliary information according to the first interface parameter; the segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted.
For a specific description of the segmentation aid information display device, reference may be made to the description of the segmentation aid information display method hereinabove, and the description thereof will not be repeated here.
In some embodiments, a medical imaging device is provided comprising a memory having a computer program stored therein and a processor, which when executing the computer program, implements the method steps of the above embodiments.
The present description embodiment provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the method of any of the above embodiments.
An embodiment of the present specification provides a computer program product comprising instructions which, when executed by a processor of a computer device, enable the computer device to perform the steps of the method of any one of the embodiments described above.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, for example, may be considered as a ordered listing of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable medium upon which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
Claims (12)
1. A segmentation assistance information display method, characterized in that it is used in a semi-automatic segmentation process of a medical image, the method comprising:
determining a first interface parameter; wherein the first interface parameter is used for characterizing a relevant parameter affecting a segmentation result of the medical image;
Displaying a first region marker on the medical image; wherein the first region marker is used for indicating a first image region to be segmented in the medical image;
Prompting segmentation auxiliary information according to the first interface parameter; the segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted.
2. The method according to claim 1, wherein the method further comprises:
displaying an adjusted second region marker on the medical image in response to an adjustment operation of the first region marker; the second region mark is used for indicating a second image region obtained after the first image region is adjusted in the medical image; and/or
And responding to the adjustment operation of the first interface parameter to obtain a second interface parameter.
3. The method of claim 1, wherein the presenting a first region marker on the medical image comprises:
Generating the first region marker on the medical image according to a region radius in the first interface parameter and a selected center point position; or (b)
The first region marker is generated on the medical image according to the selected at least two vertex positions.
4. A method according to any one of claims 1 to 3, wherein the first interface parameter comprises a threshold range parameter of pixel data; the prompting of the segmentation auxiliary information according to the first interface parameter includes:
Traversing the pixel data in the first image area according to the threshold range parameter to obtain a conforming image area meeting the threshold range parameter;
Respectively displaying the conforming image area and other image areas except the conforming image area in the first image area in different display states; or displaying the conforming image area in a highlighted state to show the segmentation auxiliary information.
5. A method according to any one of claims 1 to 3, wherein the first interface parameter comprises a display option parameter for pixel data; the prompting of the segmentation auxiliary information according to the first interface parameter includes:
traversing the pixel data in the first image area based on the display option parameters to obtain display pixel data matched with the display option parameters;
displaying the display pixel data in a text mode as the segmentation auxiliary information; wherein the display pixel data includes any one of a pixel minimum value, a pixel maximum value, and a pixel average value.
6. The method of claim 1, wherein the determining the first interface parameter comprises:
Displaying a configuration interface for dividing related parameters;
Determining the first interface parameter in response to a parameter setting operation on the configuration interface; wherein the first interface parameter includes at least one of a threshold range parameter, a display option parameter, and a region radius.
7. The method according to claim 1, wherein the method further comprises:
if the medical image is any image in a medical image sequence, determining a first reference layer and a second reference layer to be segmented in the medical image sequence;
And under the condition that the first image area does not need to be adjusted, carrying out three-dimensional expansion on the first image area based on the position data of the first area mark, the first reference layer and the second reference layer to obtain a three-dimensional area to be segmented corresponding to the medical image sequence.
8. The method of claim 7, wherein the first reference layer is a start layer and the second reference layer is an end layer; the three-dimensional expansion of the first image area based on the position data of the first area mark, the first reference layer and the second reference layer, to obtain a three-dimensional area to be segmented corresponding to the medical image sequence, includes:
Determining an image area to be segmented in an image between the start layer and the end layer based on the position data of the first area marker;
expanding the first image area by utilizing an image area to be segmented in an image between the starting layer and the ending layer to obtain the three-dimensional area to be segmented.
9. The method of claim 7, wherein the first reference layer is a start layer and the second reference layer is an end layer; the three-dimensional expansion of the first image area based on the position data of the first area mark, the first reference layer and the second reference layer, to obtain a three-dimensional area to be segmented corresponding to the medical image sequence, includes:
determining a designated key point set comprising at least a key point position in the starting layer and a key point position in the ending layer;
determining a target key point set corresponding to the medical image sequence based on the designated key point set;
Determining an image area to be segmented in an image between the starting layer and the ending layer based on the target key point set and the position data of the first area mark;
expanding the first image area by utilizing an image area to be segmented in an image between the starting layer and the ending layer to obtain the three-dimensional area to be segmented.
10. A segmentation aid information presentation device for use in a semi-automatic segmentation process of a medical image, the device comprising:
The interface parameter determining module is used for determining a first interface parameter; wherein the first interface parameter is used for characterizing a relevant parameter affecting a segmentation result of the medical image;
A region marker display module for displaying a first region marker on the medical image; wherein the first region marker is used for indicating a first image region to be segmented in the medical image;
the segmentation auxiliary information prompting module is used for prompting segmentation auxiliary information according to the first interface parameter; the segmentation auxiliary information is used for assisting in judging whether the range of the first image area and/or the first interface parameter need to be adjusted.
11. A medical imaging device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 9 when the computer program is executed.
12. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 9.
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